Normal

Normal()

Normal / Gaussian distribution parameterized by mu and sigma.

Attributes

Name	Description
mean	Expected value.
support	Distribution support.
variance	Variance.
x_range	Practical plotting range.

Methods

Name	Description
cdf	Cumulative distribution function.
elicit	Elicit a normal distribution from symmetric percentile bounds.
fit	Fit a normal distribution to observations using maximum likelihood.
pdf	Probability density function.
ppf	Percent point function / inverse CDF.
sample	Generate random samples.
validate_params	Validate mu and sigma parameters.

cdf

Normal.cdf(x)

Cumulative distribution function.

elicit

Normal.elicit(lower, upper, confidence=0.8, name=None)

Elicit a normal distribution from symmetric percentile bounds.

fit

Normal.fit(data, name=None)

Fit a normal distribution to observations using maximum likelihood.

pdf

Normal.pdf(x)

Probability density function.

ppf

Normal.ppf(q)

Percent point function / inverse CDF.

sample

Normal.sample(size=1, *, seed=None)

Generate random samples.

validate_params

Normal.validate_params(params)

Validate mu and sigma parameters.